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SUMMARY:Tracking stem cells at the single cell level: New tools for old qu
 estions - Dr Timm Schroeder\, Institute of Stem Cell Research\, Helmholtz\
 , Munich\, Germany
DTSTART:20110919T145000Z
DTEND:20110919T151500Z
UID:TALK31855@talks.cam.ac.uk
CONTACT:Duncan Simpson
DESCRIPTION:Stem cell driven regenerative systems are highly complex and d
 ynamic\, consisting of larges number of different cells expressing many mo
 lecules controlling their fates. Therefore\, mathematical models are neces
 sary - both to aid the interpretation of experimental data\, and to simula
 te the behavior of stem cell systems based on hypothetical assumptions abo
 ut their complex cellular or molecular composition. However\, the generati
 on of models is hampered by the lack of precise experimental data. Even mo
 derate numbers of unknown variables quickly lead to uncertainties within t
 he models which can render them largely useless for solving biological que
 stions. In particular\, it is a major problem that stem cell systems are u
 sually followed by analyzing populations of cells - rather than individual
  cells - at very few time points of an experiment\, and without knowing in
 dividual cell identities. Continuous real-time tracking of individual cell
 s would be an important prerequisite to fully understand the developmental
  complexity of stem cell driven systems. We have therefore developed cultu
 re and imaging systems to follow the fate of individual cells over long pe
 riods of time. Our approaches also allow the continuous long term quantifi
 cation of protein expression levels and activity in living stem cells. Thi
 s novel kind of quantitative data of single cell behavior and molecule exp
 ression is used as the basis for the improved generation and falsification
  of models describing complex stem cell systems.\n________________________
 _________________\n\nhttp://www.helmholtz-muenchen.de/isf/haematopoese/ind
 ex.html\n
LOCATION:MR2\, Centre for Mathematical Sciences\, Wilberforce Road\, Cambr
 idge
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